Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2018-05-31 09:50:51	ga_s2bm_ard_3-2-1_55JFJ_2018-05-31_final
2018-06-07 09:41:06	ga_s2bm_ard_3-2-1_55JFJ_2018-06-07_final
2018-06-10 09:50:52	ga_s2bm_ard_3-2-1_55JFJ_2018-06-10_final
2018-06-17 09:41:07	ga_s2bm_ard_3-2-1_55JFJ_2018-06-17_final
2018-06-20 09:50:53	ga_s2bm_ard_3-2-1_55JFJ_2018-06-20_final
2018-06-27 09:41:07	ga_s2bm_ard_3-2-1_55JFJ_2018-06-27_final
2018-06-30 09:50:53	ga_s2bm_ard_3-2-1_55JFJ_2018-06-30_final
2018-07-07 09:42:12	ga_s2bm_ard_3-2-1_55JFJ_2018-07-07_final
2018-07-10 09:53:10	ga_s2bm_ard_3-2-1_55JFJ_2018-07-10_final
2018-07-17 09:41:07	ga_s2bm_ard_3-2-1_55JFJ_2018-07-17_final
2018-07-20 09:54:14	ga_s2bm_ard_3-2-1_55JFJ_2018-07-20_final
2018-07-27 09:41:06	ga_s2bm_ard_3-2-1_55JFJ_2018-07-27_final
2018-07-30 09:52:43	ga_s2bm_ard_3-2-1_55JFJ_2018-07-30_final
2018-08-06 09:41:04	ga_s2bm_ard_3-2-1_55JFJ_2018-08-06_final
2018-08-09 09:50:49	ga_s2bm_ard_3-2-1_55JFJ_2018-08-09_final
2018-08-09 09:54:29	ga_s2bm_ard_3-2-1_55JFJ_2018-08-09_final
2018-08-16 09:41:02	ga_s2bm_ard_3-2-1_55JFJ_2018-08-16_final
2018-08-19 09:50:47	ga_s2bm_ard_3-2-1_55JFJ_2018-08-19_final
2018-08-19 09:54:27	ga_s2bm_ard_3-2-1_55JFJ_2018-08-19_final
2018-08-26 09:41:00	ga_s2bm_ard_3-2-1_55JFJ_2018-08-26_final
2018-08-29 09:50:45	ga_s2bm_ard_3-2-1_55JFJ_2018-08-29_final
2018-09-05 09:40:59	ga_s2bm_ard_3-2-1_55JFJ_2018-09-05_final
2018-09-08 09:50:45	ga_s2bm_ard_3-2-1_55JFJ_2018-09-08_final
2018-09-08 09:54:21	ga_s2bm_ard_3-2-1_55JFJ_2018-09-08_final
2018-09-15 09:41:00	ga_s2bm_ard_3-2-1_55JFJ_2018-09-15_final
2018-09-18 09:50:46	ga_s2bm_ard_3-2-1_55JFJ_2018-09-18_final
2018-09-25 09:41:02	ga_s2bm_ard_3-2-1_55JFJ_2018-09-25_final
2018-09-28 09:52:43	ga_s2bm_ard_3-2-1_55JFJ_2018-09-28_final
2018-10-05 09:41:04	ga_s2bm_ard_3-2-1_55JFJ_2018-10-05_final
2018-10-08 09:50:50	ga_s2bm_ard_3-2-1_55JFJ_2018-10-08_final
2018-10-08 09:54:30	ga_s2bm_ard_3-2-1_55JFJ_2018-10-08_final
2018-10-15 09:41:05	ga_s2bm_ard_3-2-1_55JFJ_2018-10-15_final
2018-10-18 09:50:51	ga_s2bm_ard_3-2-1_55JFJ_2018-10-18_final
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_55JFJ_2018-10-18_final
2018-10-25 09:41:06	ga_s2bm_ard_3-2-1_55JFJ_2018-10-25_final
2018-10-28 09:53:42	ga_s2bm_ard_3-2-1_55JFJ_2018-10-28_final
2018-11-04 09:41:06	ga_s2bm_ard_3-2-1_55JFJ_2018-11-04_final
2018-11-07 09:54:38	ga_s2bm_ard_3-2-1_55JFJ_2018-11-07_final
2018-11-14 09:44:43	ga_s2bm_ard_3-2-1_55JFJ_2018-11-14_final
2018-11-17 09:54:37	ga_s2bm_ard_3-2-1_55JFJ_2018-11-17_final
2018-11-24 09:44:43	ga_s2bm_ard_3-2-1_55JFJ_2018-11-24_final
2018-11-27 09:54:36	ga_s2bm_ard_3-2-1_55JFJ_2018-11-27_final
2018-12-04 09:44:41	ga_s2bm_ard_3-2-1_55JFJ_2018-12-04_final
2018-12-07 09:54:35	ga_s2bm_ard_3-2-1_55JFJ_2018-12-07_final
2018-12-14 09:44:40	ga_s2bm_ard_3-2-1_55JFJ_2018-12-14_final
2018-12-17 09:54:35	ga_s2bm_ard_3-2-1_55JFJ_2018-12-17_final
2018-12-24 09:44:42	ga_s2bm_ard_3-2-1_55JFJ_2018-12-24_final
2018-12-27 09:54:37	ga_s2bm_ard_3-2-1_55JFJ_2018-12-27_final
2019-01-03 09:44:44	ga_s2bm_ard_3-2-1_55JFJ_2019-01-03_final
2020-01-31 09:54:33	ga_s2bm_ard_3-2-1_55JFJ_2020-01-31_final
2020-02-27 09:44:51	ga_s2bm_ard_3-2-1_55JFJ_2020-02-27_final
2020-03-08 09:44:44	ga_s2bm_ard_3-2-1_55JFJ_2020-03-08_final
2021-10-02 09:54:40	ga_s2bm_ard_3-2-1_55JFJ_2021-10-02_final
2021-10-09 09:44:47	ga_s2bm_ard_3-2-1_55JFJ_2021-10-09_final
2021-10-19 09:44:47	ga_s2bm_ard_3-2-1_55JFJ_2021-10-19_final
2021-10-29 09:44:47	ga_s2bm_ard_3-2-1_55JFJ_2021-10-29_final
2021-11-08 09:44:46	ga_s2bm_ard_3-2-1_55JFJ_2021-11-08_final
2021-11-18 09:44:44	ga_s2bm_ard_3-2-1_55JFJ_2021-11-18_final
2021-11-28 09:44:42	ga_s2bm_ard_3-2-1_55JFJ_2021-11-28_final
2021-12-08 09:44:41	ga_s2bm_ard_3-2-1_55JFJ_2021-12-08_final
2021-12-18 09:44:40	ga_s2bm_ard_3-2-1_55JFJ_2021-12-18_final
2021-12-28 09:44:42	ga_s2bm_ard_3-2-1_55JFJ_2021-12-28_final
2022-01-07 09:44:42	ga_s2bm_ard_3-2-1_55JFJ_2022-01-07_final
2022-01-17 09:44:42	ga_s2bm_ard_3-2-1_55JFJ_2022-01-17_final
2022-01-27 09:44:40	ga_s2bm_ard_3-2-1_55JFJ_2022-01-27_final
2022-02-06 09:44:40	ga_s2bm_ard_3-2-1_55JFJ_2022-02-06_final
2022-02-09 09:54:35	ga_s2bm_ard_3-2-1_55JFJ_2022-02-09_final
2022-02-16 09:44:40	ga_s2bm_ard_3-2-1_55JFJ_2022-02-16_final
2022-02-26 09:44:42	ga_s2bm_ard_3-2-1_55JFJ_2022-02-26_final
2022-03-08 09:44:44	ga_s2bm_ard_3-2-1_55JFJ_2022-03-08_final
2022-03-18 09:44:44	ga_s2bm_ard_3-2-1_55JFJ_2022-03-18_final
2022-03-28 09:44:43	ga_s2bm_ard_3-2-1_55JFJ_2022-03-28_final
2022-03-31 09:54:37	ga_s2bm_ard_3-2-1_55JFJ_2022-03-31_final
2022-04-07 09:44:43	ga_s2bm_ard_3-2-1_55JFJ_2022-04-07_final
2022-04-10 09:54:37	ga_s2bm_ard_3-2-1_55JFJ_2022-04-10_final
2022-04-17 09:44:37	ga_s2bm_ard_3-2-1_55JFJ_2022-04-17_final
2022-04-20 09:54:36	ga_s2bm_ard_3-2-1_55JFJ_2022-04-20_final
2022-04-27 09:44:39	ga_s2bm_ard_3-2-1_55JFJ_2022-04-27_final
2022-05-07 09:44:42	ga_s2bm_ard_3-2-1_55JFJ_2022-05-07_final
2022-05-10 09:54:37	ga_s2bm_ard_3-2-1_55JFJ_2022-05-10_final
2022-05-17 09:44:45	ga_s2bm_ard_3-2-1_55JFJ_2022-05-17_final
2022-05-20 09:54:40	ga_s2bm_ard_3-2-1_55JFJ_2022-05-20_final
2022-05-27 09:44:46	ga_s2bm_ard_3-2-1_55JFJ_2022-05-27_final
2022-05-30 09:54:40	ga_s2bm_ard_3-2-1_55JFJ_2022-05-30_final
2022-06-06 09:44:47	ga_s2bm_ard_3-2-1_55JFJ_2022-06-06_final
2022-06-09 09:54:42	ga_s2bm_ard_3-2-1_55JFJ_2022-06-09_final
2022-06-16 09:44:50	ga_s2bm_ard_3-2-1_55JFJ_2022-06-16_final
2022-06-19 09:54:44	ga_s2bm_ard_3-2-1_55JFJ_2022-06-19_final
2022-06-26 09:44:51	ga_s2bm_ard_3-2-1_55JFJ_2022-06-26_final
2022-07-06 09:44:51	ga_s2bm_ard_3-2-1_55JFJ_2022-07-06_final
2022-07-09 09:54:45	ga_s2bm_ard_3-2-1_55JFJ_2022-07-09_final
2022-07-16 09:44:51	ga_s2bm_ard_3-2-1_55JFJ_2022-07-16_final
2022-07-19 09:54:45	ga_s2bm_ard_3-2-1_55JFJ_2022-07-19_final
2022-07-26 09:44:51	ga_s2bm_ard_3-2-1_55JFJ_2022-07-26_final
2022-07-29 09:54:45	ga_s2bm_ard_3-2-1_55JFJ_2022-07-29_final
2022-08-05 09:44:50	ga_s2bm_ard_3-2-1_55JFJ_2022-08-05_final
2022-08-08 09:54:44	ga_s2bm_ard_3-2-1_55JFJ_2022-08-08_final
2022-08-15 09:44:49	ga_s2bm_ard_3-2-1_55JFJ_2022-08-15_final
2022-08-18 09:54:43	ga_s2bm_ard_3-2-1_55JFJ_2022-08-18_final
2022-08-25 09:44:46	ga_s2bm_ard_3-2-1_55JFJ_2022-08-25_final

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years